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Facing the Multicore-Challenge: Aspects of New Paradigms and Technologies in Parallel Computing (Lecture Notes in Computer Science, 6310, Band 6310)
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Facing the Multicore-Challenge: Aspects of New Paradigms and Technologies in Parallel Computing (Lecture Notes in Computer Science, 6310, Band 6310) - Pasta blanda

2010, ISBN: 9783642162329

Springer, Taschenbuch, Auflage: 2010, 166 Seiten, Publiziert: 2010-10-06T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 31558150, 0.57 kg, Softwareentwicklung, IT-Ausbildung & -Berufe, C… Más…

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Facing the Multicore-Challenge: Aspects of New Paradigms and Technologies in Parallel Computing (Lecture Notes in Computer Science, 6310, Band 6310)
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Facing the Multicore-Challenge: Aspects of New Paradigms and Technologies in Parallel Computing (Lecture Notes in Computer Science, 6310, Band 6310) - Pasta blanda

2010, ISBN: 9783642162329

Springer, Taschenbuch, Auflage: 2010, 166 Seiten, Publiziert: 2010-10-06T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 31558150, 0.57 kg, Softwareentwicklung, IT-Ausbildung & -Berufe, C… Más…

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Rainer Keller, David Anthony Kramer, Jan-Philipp Weiss:
Facing the Multicore-Challenge - Pasta blanda

2010

ISBN: 3642162320

[EAN: 9783642162329], Neubuch, [SC: 4.61], [PU: Springer Berlin Heidelberg 2010-10-06, Berlin], Language: ENG, Books

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Facing the Multicore-Challenge - Rainer Keller; David Kramer; Jan-Philipp Weiss
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Rainer Keller; David Kramer; Jan-Philipp Weiss:
Facing the Multicore-Challenge - Primera edición

2010, ISBN: 9783642162329

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Aspects of New Paradigms and Technologies in Parallel Computing, Buch, Softcover, 2010, [PU: Springer Berlin], Springer Berlin, 2010

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Facing the Multicore-Challenge - Rainer Keller, David Anthony Kramer, Jan-Philipp Weiss
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Rainer Keller, David Anthony Kramer, Jan-Philipp Weiss:
Facing the Multicore-Challenge - Pasta blanda

ISBN: 9783642162329

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Facing the Multicore-Challenge
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ISBN:

3642162320


This state-of-the-art survey features topics related to the impact of multicore and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. The papers cover all issues of current research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, compilers, hardware-aware computing, heterogeneous platforms, emerging architectures, tools, performance tuning, and requirements for large-scale applications. The contributions presented in this volume offer a survey on the state of the art, the concepts and perspectives for future developments. They are an outcome of an inspiring conference conceived and organized by the editors within the junior scientist program of Heidelberg Academy for Sciences and Humanities titled "Facing the Multicore-Challenge", held at Heidelberg, Germany, in March 2010. The 12 revised full papers presented together with the extended abstracts of 3 invited lectures focus on combination of new aspects of multicore microprocessor technologies, parallel applications, numerical simulation, software development, and tools; thus they clearly show the potential of emerging technologies in the area of multicore and manycore processors that are paving the way towards personal supercomputing.

Detalles del libro - Facing the Multicore-Challenge


EAN (ISBN-13): 9783642162329
ISBN (ISBN-10): 3642162320
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer Berlin
153 Páginas
Peso: 0,261 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-05-10T11:50:01+02:00 (Madrid)
Página de detalles modificada por última vez el 2023-12-05T09:07:52+01:00 (Madrid)
ISBN/EAN: 3642162320

ISBN - escritura alterna:
3-642-16232-0, 978-3-642-16232-9
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: philipp keller, kramer rainer, jan david, david weiss, philipp krämer, philip keller, philipp springer, heidelberger, rainer held
Título del libro: lecture notes computer science, challenge, parallel computing, the new science, new technologies

Datos del la editorial

Autor: Rainer Keller; David Kramer; Jan-Philipp Weiss
Título: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Facing the Multicore-Challenge - Aspects of New Paradigms and Technologies in Parallel Computing
Editorial: Springer; Springer Berlin
156 Páginas
Año de publicación: 2010-10-06
Berlin; Heidelberg; DE
Idioma: Inglés
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
X, 156 p. 60 illus.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Numerische Mathematik; Verstehen; CUDA; Natur; Software; Technologie; algorithms; cell BE; computational science; design; development; dispersion simulation; fault tolerance; fluid-structure interaction; programming; science; sorting; algorithm analysis and problem complexity; complexity; Numerical Analysis; Software Engineering; Algorithms; Applied Dynamical Systems; Computational Mathematics and Numerical Analysis; Software Engineering; Algorithmen und Datenstrukturen; Mathematik für Ingenieure; Kybernetik und Systemtheorie; EA

Invited Talks.- Analyzing Massive Social Networks Using Multicore and Multithreaded Architectures.- MareIncognito: A Perspective towards Exascale.- The Natural Parallelism.- Computer Architecture and Parallel Programming.- RapidMind: Portability across Architectures and Its Limitations.- A Majority-Based Control Scheme for Way-Adaptable Caches.- Improved Scalability by Using Hardware-Aware Thread Affinities.- Thread Creation for Self-aware Parallel Systems.- Applications on Multicore.- G-Means Improved for Cell BE Environment.- Parallel 3D Multigrid Methods on the STI Cell BE Architecture.- Applying Classic Feedback Control for Enhancing the Fault-Tolerance of Parallel Pipeline Workflows on Multi-core Systems.- Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors.- FPGA vs. Multi-core CPUs vs. GPUs: Hands-On Experience with a Sorting Application.- GPGPU Computing.- Considering GPGPU for HPC Centers: Is it Worth the Effort?.- Real-Time Image Segmentation on a GPU.- Parallel Volume Rendering Implementation on Graphics Cards Using CUDA.
State-of-the-art survey Contains 12 revised full papers and 3 invited papers Features topics related to the impact of multicore and coprocessor technologies
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